Pre-release
This release is a pre-release and may not be stable for production use.
Use SmartLogger in your code
from smartlogger import SmartLogger
logger = SmartLogger("examplePipelineName", save_to_dir="OPTIONAL_SAVE_DIR, defaults to ./")
stage = logger.Stage(unique_id, stage_name, tags=optional_list_of_tags)
# code block you want to log and time, eg: model inference/ db call/ pre/post processing code
# stage.debug()/ info()/ exception (logs exc info)/ error
# depending on whether it succeeded or not
stage.success()
stage.failed()
# Process to continuously upload logs to dash
smartlogger --save_dir ./ --server_url "http://localhost:8080"
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